Open AccessPrecision-Enhanced and Encryption-Mixed Privacy-Preserving Data Aggregation in Wireless Sensor Networks
Author(s) -
Geng Yang,
Sen Li,
Xiaolong Xu,
Hua Dai,
Zhen Yang
Publication year - 2013
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2013/427275
Subject(s) - computer science , data aggregator , encryption , wireless sensor network , slicing , network packet , collision , computer network , aggregate (composite) , energy consumption , node (physics) , distributed computing , computer security , ecology , materials science , structural engineering , world wide web , engineering , composite material , biology
Security is always a hot topic in wireless sensor networks (WSNs). Privacy-preserving data aggregation has emerged as an important concern in designing data aggregation algorithm. This paper proposes a precision-enhanced and encryption-mixed privacy-preserving data aggregation (PEPDA). The objective is to reduce collision during data transmission and energy consumption and to compensate loss caused by the collision. Based on the Slice-Mix-AggRegaTe (SMART) scheme, it optimizes data slicing by using small data packet, node classifying, and positive and negative data slicing techniques. It also describes a randomized time slot and a data compensation algorithm. Theoretical analysis and simulation show that PEPDA demonstrates a good performance in terms of accuracy, complexity, and security. © 2013 Geng Yang et al.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom